| Description |
1 online resource (21 pages) : color illustrations. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
NREL/PR ; 5400-75739 |
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NREL/PR ; 5400-75739.
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| Note |
"99th Annual Meeting of the Transportation Research Board, January 14, 2020, Washington, D.C." |
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Slideshow presentation. |
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"Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Vehicle Technologies Office"--Page 20. |
| Funding |
DE-AC36-08GO28308 |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed on August 10, 2020). |
| Summary |
Increasing interest and investment in connected, automated, and electric vehicles, and mobility-as-a-service concepts are paving the way for the next major shift in transportation through automated and shared mobility. The initial excitement towards rapid deployment and adoption of automated vehicles has subsided, and low-speed automated shuttles are emerging as a more pragmatic pathway for introducing automated mobility in geo-fenced districts. Such shuttles hold the promise to provide a viable alternative for serving short trips in urban districts with high travel densities. As interest in low-speed automated shuttle systems (to improve urban mobility) increases, the need for tools that can inform communities regarding benefits or dis-benefits of automated shuttle deployments is imminent. However, most of the existing transportation planning and simulation tools are not capable of handling emerging shared automated mobility options. This presentation presents a microscopic simulation toolkit that can be used by cities and communities to plan for the deployment of low-speed automated shuttles systems, as well as other shared mobility options. Labeled as the Automated Mobility District (AMD) modeling and simulation toolkit, the proposed decision support tool can help cities evaluate the mobility and sustainability impacts of deploying shared automated vehicles in geofenced regions. This paper presents a description of the toolkit, as well as a sample scenario analysis for the deployment of low-speed automated shuttles in Greenville, South Carolina. Results from the scenario study demonstrate the effectiveness of the proposed simulation toolkit in planning for advanced mobility systems. |
| Subject |
Automated vehicles -- United States -- Data processing.
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Véhicules autonomes -- États-Unis -- Informatique.
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United States (OCoLC)fst01204155 https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
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| Indexed Term |
automated mobility |
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automated mobility district |
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autonomous vehicles |
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low-speed automated shuttles |
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shared mobility |
| Added Author |
National Renewable Energy Laboratory (U.S.), issuing body.
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United States. Department of Energy. Office of Energy Efficiency and Renewable Energy, sponsoring body.
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| Standard No. |
1601583 OSTI ID |
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0000-0003-0170-1178 |
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0000-0003-1603-1883 |
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0000-0002-3955-9608 |
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0000-0002-8993-3813 |
| Gpo Item No. |
0430-P-09 (online) |
| Sudoc No. |
E 9.22:NREL/PR-5400-75739 |
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